Top Senior Level Artificial Intelligence Sales Engineer Jobs in New York City, NY

Lead the deal lifecycle for complex partnerships, collaborating across teams to build and implement innovative AI-driven business solutions.

The Sales Engineer will bridge AI solutions with enterprise needs, leading technical engagements and ensuring customer success through collaboration and technical support.

The Advanced Income Solutions Specialist delivers product knowledge and sales support, conducts training, and handles inquiries about New York Life's annuity offerings, requiring travel and collaboration with sales teams.

The Enterprise Sales Engineer drives technical sales support, conducts product demonstrations, collaborates with product teams, manages evaluations, and builds process improvements while maintaining customer relationships and achieving sales quotas.

The GenAI Solutions Engineer collaborates with sales to identify use cases for Generative AI, design and implement solutions, build prototypes, and guide clients in leveraging AI technologies for enhanced healthcare operations.

Lead and manage the Sales Engineering team for Enterprise accounts, providing technical leadership and driving revenue goals while recruiting and enabling top talent.

As a Senior Solutions Engineer, you will collaborate with Enterprise Account Executives to drive sales strategies, deliver demonstrations, and address customer challenges through tailored solutions, while ensuring successful outcomes for Enterprise clients.

The Sales Solutions Executive partners with sales executives to drive strategic deals in complex sales cycles, engaging healthcare executives to address operational challenges and selling Iodine's SaaS solutions, while also handling technical RFPs and leading presentations.

The VP of Sales Engineering leads the Sales Engineering team, defining strategies for enterprise growth, overseeing complex deals, and ensuring alignment with various departments to drive success in the healthcare technology sector.

Identify customer use cases for AI technology, manage commercial processes, develop applications, and foster strategic relationships with key decision-makers.